No-Reference Image Quality Assessment on Large-scale SR dataset Bicubic
0.933Spearman CorrelationNo-Reference Quality Metric
Evaluation results
| Method | Links | |
|---|---|---|
| No-Reference Quality MetricValidation Protocol=5-fold CV, Retraining Status=Retrained on SR dataset2016.12 | 0.933 | |
| No-Reference Quality MetricValidation Protocol=Leave-method-out, Retraining Status=Retrained on SR dataset2016.12 | 0.932 | |
| BLIINDSRetraining Status=Not retrained2016.12 | 0.929 | |
| CNNIQARetraining Status=Not retrained2016.12 | 0.927 | |
| CORNIARetraining Status=Not retrained2016.12 | 0.893 | |
| BRISQUERetraining Status=Not retrained2016.12 | 0.85 | |
| No-Reference Quality MetricValidation Protocol=Leave-image-out, Retraining Status=Retrained on SR dataset2016.12 | 0.805 |